Hyeuknam Kwon
Yonsei University
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Publication
Featured researches published by Hyeuknam Kwon.
Inverse Problems | 2015
Habib Ammari; Hyeuknam Kwon; Yoonseop Lee; Kyungkeun Kang; Jin Keun Seo
Magnetic resonance electrical property tomography is a recent medical imaging modality for visualizing the electrical tissue properties of the human body using radio-frequency magnetic fields. It uses the fact that in magnetic resonance imaging systems the eddy currents induced by the radio-frequency magnetic fields reflect the conductivity (
Computational and Mathematical Methods in Medicine | 2013
Jin Keun Seo; Tushar Kanti Bera; Hyeuknam Kwon; Rosalind J. Sadleir
\sigma
Measurement Science and Technology | 2014
Bishal Karki; Hun Wi; Alistair McEwan; Hyeuknam Kwon; Tong In Oh; Eung Je Woo; Jin Keun Seo
) and permittivity (
Computational and Mathematical Methods in Medicine | 2013
Hyeuknam Kwon; Alistair McEwan; Tong In Oh; Adnan Farooq; Eung Je Woo; Jin Keun Seo
\epsilon
Asymptotic Analysis | 2016
Habib Ammari; Laure Giovangigli; Hyeuknam Kwon; Jin Keun Seo; Timothée Wintz
) distributions inside the tissues through Maxwells equations. The corresponding inverse problem consists of reconstructing the admittivity distribution (
SIAM Journal on Scientific Computing | 2013
Yizhuang Song; Hyeuknam Kwon; Kiwan Jeon; Yoon Mo Jung; Jin Keun Seo; Eung Je Woo
\gamma=\sigma+i\omega\epsilon
Siam Journal on Imaging Sciences | 2017
Habib Ammari; Hyeuknam Kwon; Seungri Lee; Jin Keun Seo
) at the Larmor frequency (
Siam Journal on Applied Mathematics | 2015
Habib Ammari; Eun-Jung Lee; Hyeuknam Kwon; Jin Keun Seo; Eung Je Woo
\omega/2\pi=
Electro-Optical and Infrared Systems: Technology and Applications XIII | 2016
Seul Ki Yang; Sehyun Seong; Dongok Ryu; Sug Whan Kim; Hyeuknam Kwon; Sang Hun Jin; Ho Jeong; Hyun Bae Kong; Jae Wan Lim; Jong Hwa Choi
128 MHz for a 3 tesla MRI machine) from the positive circularly polarized component of the magnetic field
한국산업응용수학회 학술대회 논문집 | 2013
Hyeuknam Kwon; Jin Keun Seo; Tushar Kanti Bera; Rosalind J. Sadleir
{\bf H}=(H_x,H_y,H_z)